Research and development into the application of machine vision in froth flotation systems
has continued since its introduction in the late 1980s. Machine vision is able to accurately …

This article proposes an online bubble size distribution (BSD) monitoring scheme by
incorporating a multiscale-deblurring full convolutional network (FulConNet)(MsD) and a …

It is well known that froth visual features reflect the operating conditions of the flotation
process, so that being able to accurately obtain the froth properties is the most significant …

Automatic control of the flotation circuits needs online information from froth indicators, such
as froth texture, motion speed, shape, and number and size distribution of bubbles. In …

In flotation process monitoring, visual soft sensors provide stable and reliable online
estimations for a concentrate grade, which is difficult to be measured online owing to …

Accurate identification of the working conditions of froth flotation remains challenging
because of the inherent chaotic nature of the underlying microscopic phenomenon. The froth …

This paper summarizes research into the study of the control of flotation processes based on
froth images. A review of the froth flotation operation background and the relevance and role …

Video image analysis and direct sampling of the froth surface were combined to investigate
the relationship between different imaging parameters accounting for the structural features …

This paper illustrates a new way for modeling and control of flotation processes based on
froth appearances. As shown our previous work [Liu, J., MacGregor, JF, Duchesne, C …

The rapid developments in computer vision, computational resources and artificial
intelligence, and the integration of these technologies are creating new possibilities in the …